Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Perfect vs Kazuya 182–177 50.70%
Perfect vs Bryan 135–127 51.53%
Perfect vs Jin 158–87 64.49%
Perfect vs Reina 115–97 54.25%
Perfect vs King 113–93 54.85%
Perfect vs Hwoarang 93–91 50.54%
Perfect vs Steve 91–87 51.12%
Perfect vs Heihachi 84–88 48.84%
Perfect vs Lili 66–73 47.48%
Perfect vs Dragunov 64–70 47.76%
Perfect vs Paul 56–73 43.41%
Perfect vs Clive 58–69 45.67%
Perfect vs Yoshimitsu 66–56 54.10%
Perfect vs Law 64–57 52.89%
Perfect vs Lee 51–54 48.57%
Perfect vs Devil Jin 48–51 48.48%
Perfect vs Jun 44–50 46.81%
Perfect vs Nina 36–57 38.71%
Perfect vs Asuka 27–65 29.35%
Perfect vs Xiaoyu 45–38 54.22%
Perfect vs Victor 37–45 45.12%
Perfect vs Lars 40–38 51.28%
Perfect vs Azucena 39–38 50.65%
Perfect vs Raven 41–25 62.12%
Perfect vs Feng 35–30 53.85%
Perfect vs Lidia 26–34 43.33%
Perfect vs Anna 27–31 46.55%
Perfect vs Alisa 26–29 47.27%
Perfect vs Jack-8 23–28 45.10%
Perfect vs Claudio 22–25 46.81%
Perfect vs Eddy 24–23 51.06%
Perfect vs Kuma 20–22 47.62%
Perfect vs Leroy 22–19 53.66%
Perfect vs Leo 21–14 60.00%
Perfect vs Shaheen 14–12 53.85%
Perfect vs Fahkumram 6–15 28.57%
Perfect vs Miary Zo 7–9 43.75%
Perfect vs Panda 4–4 50.00%
Perfect vs Zafina 5–3 62.50%
Perfect vs Armor King 3–0 100.00%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.